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Brain Computer Interface: EEG Signal Preprocessing Issues and Solutions

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Nelly Elsayed, Zaghloul Saad Zaghloul, Magdy Bayoumi
10.5120/ijca2017914621

Nelly Elsayed, Zaghloul Saad Zaghloul and Magdy Bayoumi. Brain Computer Interface: EEG Signal Preprocessing Issues and Solutions. International Journal of Computer Applications 169(3):12-16, July 2017. BibTeX

@article{10.5120/ijca2017914621,
	author = {Nelly Elsayed and Zaghloul Saad Zaghloul and Magdy Bayoumi},
	title = {Brain Computer Interface: EEG Signal Preprocessing Issues and Solutions},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2017},
	volume = {169},
	number = {3},
	month = {Jul},
	year = {2017},
	issn = {0975-8887},
	pages = {12-16},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume169/number3/27964-2017914621},
	doi = {10.5120/ijca2017914621},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Brain Computer Interface (BCI) is often directed at mapping, assisting, or repairing human cognitive or sensory-motor functions. Electroencephalogram (EEG) is a non-invasive method of acquisition brain electrical activities. Noises are impure the EEG recorded signal due to the physiologic and extra-physiologic artifacts. There are several techniques are intended to manipulate the EEG recorded signal during the BCI preprocessing stage of to achieve preferable results at the learning stage. This paper aims to present an overview on BCI different EEG brain signal recording artifacts and the methodologies to remove these artifacts from the signal focusing on different novel trends at BCI research areas.

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Keywords

Brain Computer interface (BCI), EEG, artifact removal, preprocessing, EMG, EOG, filtering.